samsung SM-S936B
Geekbench AI Score
2868
Single Precision Score
2862
Half Precision Score
5204
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 20 2025 07:53 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S936B |
| Model ID | samsung SM-S936B |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.47 GHz |
| Memory Information | |
|---|---|
| Size | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2094
389.5 IPS |
|
|
Image Classification (HP)
|
100% |
1979
367.9 IPS |
|
|
Image Classification (Q)
|
100% |
4490
835.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2493
40.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2514
40.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
5448
88.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5369
6.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
5360
6.25 IPS |
|
|
Pose Estimation (Q)
|
84% |
13527
16.0 IPS |
|
|
Object Detection (SP)
|
98% |
1698
135.2 IPS |
|
|
Object Detection (HP)
|
98% |
1757
139.8 IPS |
|
|
Object Detection (Q)
|
83% |
3995
322.7 IPS |
|
|
Face Detection (SP)
|
100% |
4474
53.2 IPS |
|
|
Face Detection (HP)
|
100% |
4523
53.7 IPS |
|
|
Face Detection (Q)
|
95% |
9797
117.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
4560
35.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4672
36.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
10869
99.6 IPS |
|
|
Style Transfer (SP)
|
89% |
11763
15.3 IPS |
|
|
Style Transfer (HP)
|
89% |
11590
15.0 IPS |
|
|
Style Transfer (Q)
|
98% |
25455
32.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2379
87.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2350
86.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6761
250.5 IPS |
|
|
Text Classification (SP)
|
100% |
999
1.33 KIPS |
|
|
Text Classification (HP)
|
99% |
997
1.33 KIPS |
|
|
Text Classification (Q)
|
88% |
1084
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1390
23.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1374
23.7 IPS |
|
|
Machine Translation (Q)
|
50% |
555
19.7 IPS |
